Vinaora Nivo Slider 3.xVinaora Nivo Slider 3.xVinaora Nivo Slider 3.xVinaora Nivo Slider 3.x

Radiomic models for Lymph Nodes status prediction in Breast Cancer exploiting Magnetic Resonance, histological Imaging and clinical data

DIETI Contact person / Partner: Carlo Sansone

Abstract

Sentinel node (SLN) biopsy is used to stage patients with early-stage breast cancer with clinically negative axillary nodes, but it is invasive and with complications. To overcome such issues this research aims to predict SLNs metastasis using radiomics on T1w-MRI of the native tumor, even in combination with histological features and patients clinical data, supporting treatment decision by providing a non-invasive approach in clinical routine.

Objectives

Development of a radiomic platform to predict sentinel nodes metastasis in a non-invasive ways using artificial intelligence-based methods extracting information from T1w-MR scans and patient clinical data.

Download

No More Available
Already assigned to a PhD student of cycle XXXV

Privacy Policy